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Connecting the physical sciences
Current advances and foundational research covering the breadth and depth of the physical sciences. Explore the latest news, peer-reviewed research, reviews, books, and proceedings from AIP Publishing and our partners.
Featured Articles
Review Article
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April 24 2024
Deepshikha Ghosh, Anushka Biswas et al.
Protein aggregation is a widespread phenomenon implicated in debilitating diseases like Alzheimer's, Parkinson's, and cataracts, presenting complex hurdles for the field of molecular biology. In this ...
Review Article
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April 24 2024
Gavin J. Giardino, Hongyan Wang et al.
Lignocellulose as a form of biomass is inedible. It represents a renewable feedstock for the synthesis of chemicals and materials. Its utilization has become an area of growing interest. Of ...
Research Article
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April 24 2024
Krishna Kaushik Yanamundra (कृष्णकौशिक यनमण्ड्र), Chandler C. Benjamin et al.
The flow of a colloidal solution between two parallel disks rotating with the same angular velocity about two non-coincident axes was studied. The problem has been approached from two perspectives, ...
Research Article
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April 24 2024
M. Mahmoudian, F. Goharpey et al.
The flow of dense suspension of non-Brownian particles has been considered by various studies affected by their significance in a variety of industries and natural phenomena. In this study, we ...
Research Article
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April 24 2024
Mohammed Alhissi, Andreas Zumbusch et al.
Molecular anisotropy plays an important role in the glass transition of a liquid. Recently, a novel bulk glass state has been discovered by optical microscopy experiments on suspensions of ...
Research Article
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April 24 2024
Conor M. Lewis, Charles T. Heise et al.
The viscoelasticity of monoclonal antibodies (mAbs) is important during their production, formulation, and drug delivery. High concentration mAbs can provide higher efficacy therapeutics (e.g., ...
Research Article
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April 24 2024
Hu Quee Tan, Xinhai Zhao et al.
Machine learning algorithms can enhance the design and experimental processing of solar cells, resulting in increased conversion efficiency. In this study, we introduce a novel machine learning-based ...